基于大数据的异构融合通信网络可信接入安全风险自动识别方法  

An Automatic Identification Method for Trusted Access Security Risks in Heterogeneous Fusion Communication Networks Based on Big Data

作　　者：张文聪 ZHANG Wenchong(Guangdong Provincial City Technician College,Guangzhou 510520,China)

机构地区：[1]广东省城市技师学院,广州510520

出　　处：《自动化与仪器仪表》2024年第7期164-167,共4页Automation & Instrumentation

基　　金：世界银行贷款职业教育发展(广东)(7720-CN)。

摘　　要：伴随大量节点的接入,通信网络环境越来越复杂,导致很多恶意行为出现,大大降低了通信网络的安全性。在此背景下,为保证通信网络的安全性,研究一种基于大数据的异构融合通信网络可信接入安全风险自动识别方法。该研究中通过计算有效性和可靠性数据,确定7个接入安全风险因素。针对7个接入安全风险因素,按照量化规则实现大数据量化处理。通过隶属度和安全风险因素的权重,构建识别模型,计算出每个安全风险等级发生的概率值,根据最大隶属度原则,将发生概率中最大值对应的风险等级作为识别结果。结果表明:按照最大隶属度原则,工况1中风险等级L2对应的安全风险等级发生概率值最大,由此说明识别出来的工况1的风险程度低;工况2中风险等级L3对应的安全风险等级发生概率值最大,由此说明识别出来的工况2的风险程度中等;工况3中风险等级L4对应的安全风险等级发生概率值最大,由此说明识别出来的工况3的风险程度高。With the access of a large number of nodes,the communication network environment has become increasingly complex,leading to many malicious behaviors,greatly reducing the security of the communication network.In this context,in order to ensure the security of communication networks,a reliable access security risk automatic identification method based on big data for heterogeneous fusion communication networks is studied.In this study,7 access security risk factors were identified by calculating validity and reliability data.Implement big data quantification processing according to quantification rules for 7 access security risk factors.By constructing an identification model based on membership degree and the weight of safety risk factors,the probability value of each safety risk level occurrence is calculated.According to the principle of maximum membership degree,the risk level corresponding to the maximum occurrence probability is used as the identification result.The results indicate that according to the principle of maximum membership,the probability value of safety risk level occurrence corresponding to risk level L2 in condition 1 is the highest,indicating that the identified risk level in condition 1 is low;The probability value of the safety risk level corresponding to the risk level L3 in condition 2 is the highest,indicating that the identified risk level in condition 2 is moderate;The probability value of the safety risk level corresponding to risk level L4 in condition 3 is the highest,indicating that the identified risk level in condition 3 is high.

关 键 词：大数据 异构融合通信网络 风险因素 可信接入安全风险程度 自动识别方法 

分 类 号：TP241.66[自动化与计算机技术—检测技术与自动化装置]